Title
Modeling Mortality Based On Pollution And Temperature Using A New Birnbaum-Saunders Autoregressive Moving Average Structure With Regressors And Related-Sensors Data
Abstract
Environmental agencies are interested in relating mortality to pollutants and possible environmental contributors such as temperature. The Gaussianity assumption is often violated when modeling this relationship due to asymmetry and then other regression models should be considered. The class of Birnbaum-Saunders models, especially their regression formulations, has received considerable attention in the statistical literature. These models have been applied successfully in different areas with an emphasis on engineering, environment, and medicine. A common simplification of these models is that statistical dependence is often not considered. In this paper, we propose and derive a time-dependent model based on a reparameterized Birnbaum-Saunders (RBS) asymmetric distribution that allows us to analyze data in terms of a time-varying conditional mean. In particular, it is a dynamic class of autoregressive moving average (ARMA) models with regressors and a conditional RBS distribution (RBSARMAX). By means of a Monte Carlo simulation study, the statistical performance of the new methodology is assessed, showing good results. The asymmetric RBSARMAX structure is applied to the modeling of mortality as a function of pollution and temperature over time with sensor-related data. This modeling provides strong evidence that the new ARMA formulation is a good alternative for dealing with temporal data, particularly related to mortality with regressors of environmental temperature and pollution.</p>
Year
DOI
Venue
2021
10.3390/s21196518
SENSORS
Keywords
DocType
Volume
ARMA models, Birnbaum-Saunders distribution, data dependent over time, maximum likelihood methods, model selection, Monte Carlo simulation, R software, residuals, sensing and data extraction
Journal
21
Issue
ISSN
Citations 
19
1424-8220
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Helton Saulo1144.35
Rubens Souza200.34
Roberto Vila300.34
Víctor Leiva400.68
R. G. Aykroyd532.15